News-Medical.Net September 13, 2022
Reviewed by Emily Henderson, B.Sc.

Over the past several years, managing one’s mental health has become more of a priority with an increased emphasis on self-care. Depression alone affects more than 300 million people worldwide annually. Recognizing this, there is significant interest to leverage popular wearable devices to monitor an individual’s mental health by measuring markers such as activity levels, sleep and heart rate.

A team of researchers at Washington University in St. Louis and at the University of Illinois Chicago used data from wearable devices to predict outcomes of treatment for depression on individuals who took part in a randomized clinical trial. They developed a novel machine learning model that analyzes data from two sets of patients -; those randomly selected to receive treatment...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Big Data, Digital Health, Mental Health, Patient / Consumer, Provider, Survey / Study, Technology, Trends, Wearables
CMMI’s Innovations in Behavioral Health: Promoting Physical and Mental Well-being
Leveraging AI to Address the Mental Health Crisis
Why Headspace Is Launching Direct-to-Consumer Services
Podcast: Amy Stiffarm on Supporting Perinatal Mental Health Within Indigenous Communities
PE Firm Avesi Partners Acquires Addiction Provider First Steps Recovery

Share This Article